A hybrid three-term conjugate gradient projection method for constrained nonlinear monotone equations with applications
In this paper, based on the three-term conjugate gradient method and the hybrid technique, we propose a hybrid three-term conjugate gradient projection method by incorporating the adaptive line search for solving large-scale nonlinear monotone equations with convex constraints. The search direction...
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| Veröffentlicht in: | Numerical algorithms Jg. 88; H. 1; S. 389 - 418 |
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| Format: | Journal Article |
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01.09.2021
Springer Nature B.V |
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| ISSN: | 1017-1398, 1572-9265 |
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| Abstract | In this paper, based on the three-term conjugate gradient method and the hybrid technique, we propose a hybrid three-term conjugate gradient projection method by incorporating the adaptive line search for solving large-scale nonlinear monotone equations with convex constraints. The search direction generated by the proposed method is close to the one yielded by the memoryless BFGS method, and has the sufficient descent property and the trust region property independent of line search technique. Under some mild conditions, we establish the global convergence of the proposed method. Our numerical experiments show the effectiveness and robustness of the proposed method in comparison with two existing algorithms in the literature. Moreover, we show applicability and encouraging efficiency of the proposed method by extending it to solve sparse signal restoration and image de-blurring problems. |
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| AbstractList | In this paper, based on the three-term conjugate gradient method and the hybrid technique, we propose a hybrid three-term conjugate gradient projection method by incorporating the adaptive line search for solving large-scale nonlinear monotone equations with convex constraints. The search direction generated by the proposed method is close to the one yielded by the memoryless BFGS method, and has the sufficient descent property and the trust region property independent of line search technique. Under some mild conditions, we establish the global convergence of the proposed method. Our numerical experiments show the effectiveness and robustness of the proposed method in comparison with two existing algorithms in the literature. Moreover, we show applicability and encouraging efficiency of the proposed method by extending it to solve sparse signal restoration and image de-blurring problems. |
| Author | Wang, Lingzhi Liu, Meixing Yin, Jianghua Jian, Jinbao Jiang, Xianzhen |
| Author_xml | – sequence: 1 givenname: Jianghua surname: Yin fullname: Yin, Jianghua organization: School of Mathematical Sciences, Inner Mongolia University – sequence: 2 givenname: Jinbao orcidid: 0000-0001-8048-7397 surname: Jian fullname: Jian, Jinbao email: jianjb@gxu.edu.cn organization: College of Mathematics and Physics, Guangxi University for Nationalities – sequence: 3 givenname: Xianzhen surname: Jiang fullname: Jiang, Xianzhen organization: College of Mathematics and Physics, Guangxi University for Nationalities – sequence: 4 givenname: Meixing surname: Liu fullname: Liu, Meixing organization: Department of Mathematics, Shanghai University – sequence: 5 givenname: Lingzhi surname: Wang fullname: Wang, Lingzhi organization: School of Mechanical and Electrical Engineering, Guangxi Science and Technology Normal University |
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| Cites_doi | 10.1007/s10092-018-0291-2 10.1007/s41980-019-00250-2 10.1109/JSTSP.2007.910281 10.1186/1029-242X-2015-1 10.1007/BF00933447 10.1080/10556780310001610493 10.1093/imanum/drl016 10.1016/j.apnum.2009.04.004 10.3390/math7080745 10.1016/j.cam.2005.10.002 10.1093/imanum/8.1.141 10.1007/s10092-015-0140-5 10.1007/s10092-015-0154-z 10.1007/s12190-014-0829-7 10.1090/S0025-5718-1980-0572855-7 10.1016/j.cam.2019.03.018 10.1109/TIP.2003.819861 10.1080/10556789508805619 10.1007/s11590-017-1205-y 10.1007/s11075-018-0603-2 10.1007/s10589-013-9599-7 10.1016/j.heliyon.2020.e03466 10.3390/sym12060874 10.1016/j.apm.2014.08.008 10.1016/j.jmaa.2013.04.017 10.1051/ro/2020008 10.1287/mnsc.20.5.845 10.1137/S1052623499357957 10.1016/j.na.2011.02.040 10.1080/10556788.2017.1325885 10.1080/02331934.2017.1372438 10.3390/math7090767 10.1093/imanum/drq015 10.1007/s00186-006-0140-y 10.6028/jres.049.044 10.1007/s101070100263 10.1007/s40314-020-01151-5 10.1287/moor.3.3.244 10.1007/BF02591989 10.1007/s11075-018-0541-z 10.1186/s13660-014-0525-z 10.3934/jimo.2013.9.117 10.1007/978-1-4757-6388-1_18 10.1007/BF00940464 10.1080/02331934.2020.1808647 10.3934/jimo.2016017 10.1016/j.cam.2019.03.025 |
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| Keywords | Three-term conjugate gradient method 68U10 65K10 Convergence property Compressed sensing Derivative-free projection method |
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| References | Abubakar, Kumam, Mohammad (CR23) 2020; 39 Wood, Wollenberg (CR4) 1996 Wang, Li, Kou (CR26) 2016; 53 Li (CR39) 2018; 12 Ibrahim, Kumam, Abubakar, Jirakitpuwapat, Abubakar (CR15) 2020; 6 Zhao, Li (CR1) 2001; 11 Gao, He, Liu (CR30) 2019; 359 Xiao, Wang, Hu (CR2) 2011; 74 CR32 Liu, Huang, Jiao (CR10) 2014; 2014 Xiao, Zhu (CR9) 2013; 405 Li (CR37) 2018; 33 Zarantonello (CR49) 1971 Awwal, Wang, Kumam, Mohammad (CR24) 2020; 12 Zhang, Zhou (CR22) 2006; 196 Abubakar, Kumam (CR14) 2019; 81 Sun, Tian (CR47) 2020; 46 Shanno (CR36) 1978; 3 Figueiredo, Nowak, Wright (CR54) 2008; 1 Nazareth (CR41) 1997; 23 Dai, Yuan (CR43) 2000 Hager, Zhang (CR44) 2006; 2 Oren, Luenberger (CR31) 1974; 20 Sun, Liu (CR34) 2016; 53 La Cruz, Raydan (CR52) 2003; 18 Abubakar, Kumam, Mohammad, Awwal (CR19) 2019; 7 CR40 Wang, Bovik, Sheikh, Simoncelli (CR57) 2004; 13 Abubakar, Kumam, Mohammad, Awwal, Sitthithakerngkiet (CR18) 2019; 7 Li, Li (CR46) 2011; 31 Zhou, Li (CR51) 2007; 25 Zhang (CR8) 2012; 79 Liu, Li (CR17) 2017; 13 Barzilai, Borwein (CR21) 1988; 8 Gao, He (CR28) 2018; 55 Wang, Wang, Xu (CR50) 2007; 66 CR56 Liu, Storey (CR29) 1991; 69 Wang, Guan (CR16) 2013; 2013 Jian, Han, Jiang (CR33) 2015; 39 Dolan, Moré (CR53) 2002; 91 Mohammad, Abubakar (CR25) 2020; 54 Zhang, Zhou, Li (CR42) 2006; 26 Yu, Lin, Sun, Xiao, Liu, Li (CR5) 2009; 59 Hestenes, Stiefel (CR27) 1952; 49 Pang (CR55) 1986; 36 Yu, Niu, Ma (CR7) 2013; 9 Cai, Gu, He (CR48) 2014; 57 Sun, Liu (CR11) 2015; 49 Ding, Xiao, Li (CR12) 2017; 66 Dirkse, Ferris (CR3) 1995; 5 CR20 Yin, Jian, Jiang (CR45) 2020; 42 Liu, Feng (CR13) 2019; 82 Liu, Duan (CR6) 2015; 2015 Nocedal (CR35) 1980; 35 Li (CR38) 2017; 13 L Nazareth (1043_CR41) 1997; 23 MAT Figueiredo (1043_CR54) 2008; 1 AB Abubakar (1043_CR23) 2020; 39 L Zhang (1043_CR22) 2006; 196 M Sun (1043_CR34) 2016; 53 EH Zarantonello (1043_CR49) 1971 M Li (1043_CR38) 2017; 13 J Nocedal (1043_CR35) 1980; 35 ZS Yu (1043_CR5) 2009; 59 WW Hager (1043_CR44) 2006; 2 PT Gao (1043_CR28) 2018; 55 M Sun (1043_CR11) 2015; 49 SS Oren (1043_CR31) 1974; 20 1043_CR40 J Barzilai (1043_CR21) 1988; 8 JH Yin (1043_CR45) 2020; 42 M Sun (1043_CR47) 2020; 46 WJ Zhou (1043_CR51) 2007; 25 M Li (1043_CR37) 2018; 33 YH Xiao (1043_CR2) 2011; 74 JS Pang (1043_CR55) 1986; 36 L Zhang (1043_CR8) 2012; 79 1043_CR32 H Mohammad (1043_CR25) 2020; 54 Y Liu (1043_CR29) 1991; 69 YH Xiao (1043_CR9) 2013; 405 JB Jian (1043_CR33) 2015; 39 W La Cruz (1043_CR52) 2003; 18 AH Ibrahim (1043_CR15) 2020; 6 GH Yu (1043_CR7) 2013; 9 J Liu (1043_CR6) 2015; 2015 Q Li (1043_CR46) 2011; 31 1043_CR20 DF Shanno (1043_CR36) 1978; 3 SP Dirkse (1043_CR3) 1995; 5 JK Liu (1043_CR13) 2019; 82 M Li (1043_CR39) 2018; 12 CW Wang (1043_CR50) 2007; 66 AM Awwal (1043_CR24) 2020; 12 XJ Cai (1043_CR48) 2014; 57 AJ Wood (1043_CR4) 1996 SY Liu (1043_CR10) 2014; 2014 1043_CR56 AB Abubakar (1043_CR14) 2019; 81 S Wang (1043_CR16) 2013; 2013 YH Dai (1043_CR43) 2000 MR Hestenes (1043_CR27) 1952; 49 PT Gao (1043_CR30) 2019; 359 Z Wang (1043_CR57) 2004; 13 XY Wang (1043_CR26) 2016; 53 YB Zhao (1043_CR1) 2001; 11 L Zhang (1043_CR42) 2006; 26 AB Abubakar (1043_CR19) 2019; 7 YY Ding (1043_CR12) 2017; 66 AB Abubakar (1043_CR18) 2019; 7 ED Dolan (1043_CR53) 2002; 91 JK Liu (1043_CR17) 2017; 13 |
| References_xml | – volume: 79 start-page: 87 issue: 1 year: 2012 end-page: 96 ident: CR8 article-title: A modified PRP projection method for nonlinear equations with convex constraints publication-title: Int. J. Pure Appl. Math. – volume: 55 start-page: 53 issue: 4 year: 2018 ident: CR28 article-title: An efficient three-term conjugate gradient method for nonlinear monotone equations with convex constraints publication-title: Calcolo doi: 10.1007/s10092-018-0291-2 – volume: 2013 start-page: 1 issue: 1 year: 2013 end-page: 7 ident: CR16 article-title: A scaled conjugate gradient method for solving monotone nonlinear equations with convex constraints publication-title: J. Appl. Math. – volume: 46 start-page: 183 year: 2020 end-page: 205 ident: CR47 article-title: A class of derivative-free CG projection methods for nonsmooth equations with an application to the LASSO problem publication-title: Bull. Iran. Math. Soc. doi: 10.1007/s41980-019-00250-2 – year: 2000 ident: CR43 publication-title: Nonlinear Conjugate Gradient Methods – volume: 1 start-page: 586 issue: 4 year: 2008 end-page: 597 ident: CR54 article-title: Gradient projection for sparse reconstruction, application to compressed sensing and other inverse problems publication-title: IEEE J. Sel. Top. Sign. Proces. doi: 10.1109/JSTSP.2007.910281 – volume: 2015 start-page: 1 issue: 1 year: 2015 end-page: 13 ident: CR6 article-title: Two spectral gradient projection methods for constrained equations and their linear convergence rate publication-title: J. Inequal. Appl. doi: 10.1186/1029-242X-2015-1 – volume: 23 start-page: 373 issue: 3 year: 1997 end-page: 387 ident: CR41 article-title: A conjugate direction algorithm without line search publication-title: J. Optim. Theory Appl. doi: 10.1007/BF00933447 – volume: 18 start-page: 583 issue: 5 year: 2003 end-page: 599 ident: CR52 article-title: Nonmonotone spectral methods for large-scale nonlinear systems publication-title: Optim. Methods Softw. doi: 10.1080/10556780310001610493 – volume: 26 start-page: 629 issue: 4 year: 2006 end-page: 640 ident: CR42 article-title: A descent modified polak-ribière-polyak conjugate gradient method and its global convergence publication-title: IMA J. Numer. Anal. doi: 10.1093/imanum/drl016 – year: 1971 ident: CR49 publication-title: Projections on Convex Sets in Hilbert Space and Spectral Theory – year: 1996 ident: CR4 publication-title: Power Generation, Operation, and Control – volume: 59 start-page: 2416 issue: 10 year: 2009 end-page: 2423 ident: CR5 article-title: Spectral gradient projection method for monotone nonlinear equations with convex constraints publication-title: Appl. Numer. Math. doi: 10.1016/j.apnum.2009.04.004 – volume: 7 start-page: 745 issue: 8 year: 2019 ident: CR18 article-title: A modified Fletcher-Reeves conjugate gradient method for monotone nonlinear equations with some applications publication-title: Mathematics doi: 10.3390/math7080745 – volume: 196 start-page: 478 year: 2006 end-page: 484 ident: CR22 article-title: Spectral gradient projection method for solving nonlinear monotone equations publication-title: J. Comput. Appl. Math. doi: 10.1016/j.cam.2005.10.002 – volume: 8 start-page: 141 issue: 1 year: 1988 end-page: 148 ident: CR21 article-title: Two-point step size gradient methods publication-title: IMA J. Numer. Anal. doi: 10.1093/imanum/8.1.141 – volume: 53 start-page: 133 issue: 2 year: 2016 end-page: 145 ident: CR26 article-title: A self-adaptive three-term conjugate gradient method for monotone nonlinear equations with convex constraints publication-title: Calcolo doi: 10.1007/s10092-015-0140-5 – volume: 53 start-page: 399 year: 2016 end-page: 411 ident: CR34 article-title: New hybrid conjugate gradient projection method for the convex constrained equations publication-title: Calcolo doi: 10.1007/s10092-015-0154-z – volume: 25 start-page: 89 year: 2007 end-page: 96 ident: CR51 article-title: Limited memory BFGS method for nonlinear monotone equations publication-title: J. Comput. Math. – volume: 49 start-page: 145 issue: 1-2 year: 2015 end-page: 156 ident: CR11 article-title: A modified Hestenes-Stiefel projection method for constrained nonlinear equations and its linear convergence rate publication-title: J. Appl. Math. Comput. doi: 10.1007/s12190-014-0829-7 – volume: 35 start-page: 773 issue: 151 year: 1980 end-page: 782 ident: CR35 article-title: Updating quasi-Newton matrices with limited storage publication-title: Math. Comput. doi: 10.1090/S0025-5718-1980-0572855-7 – volume: 359 start-page: 1 year: 2019 end-page: 16 ident: CR30 article-title: An adaptive family of projection methods for constrained monotone nonlinear equations with applications publication-title: Appl. Math. Comput. doi: 10.1016/j.cam.2019.03.018 – volume: 13 start-page: 600 issue: 4 year: 2004 end-page: 612 ident: CR57 article-title: Image quality assessment: from error visibility to structural similarity publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2003.819861 – volume: 5 start-page: 319 issue: 4 year: 1995 end-page: 345 ident: CR3 article-title: MCPLIB: A collection of nonlinear mixed complementarity problems publication-title: Optim. Methods Softw. doi: 10.1080/10556789508805619 – ident: CR32 – volume: 12 start-page: 1911 year: 2018 end-page: 1927 ident: CR39 article-title: A family of three-term nonlinear conjugate gradient methods close to the memoryless BFGS method publication-title: Optim. Lett. doi: 10.1007/s11590-017-1205-y – volume: 82 start-page: 245 year: 2019 end-page: 262 ident: CR13 article-title: A derivative-free iterative method for nonlinear monotone equations with convex constraints publication-title: Numer. Algorithms doi: 10.1007/s11075-018-0603-2 – volume: 57 start-page: 339 issue: 2 year: 2014 end-page: 363 ident: CR48 article-title: On the O(1/t) convergence rate of the projection and contraction methods for variational inequalities with Lipschitz continuous monotone operators publication-title: Comput. Optim. Appl. doi: 10.1007/s10589-013-9599-7 – volume: 6 start-page: e03466 issue: 3 year: 2020 ident: CR15 article-title: A hybrid conjugate gradient algorithm for constrained monotone equations with application in compressive sensing publication-title: Heliyon doi: 10.1016/j.heliyon.2020.e03466 – volume: 12 start-page: 874 issue: 6 year: 2020 ident: CR24 article-title: A two-step spectral gradient projection method for system of nonlinear monotone equations and image deblurring problems publication-title: Symmetry doi: 10.3390/sym12060874 – volume: 2014 start-page: 1 year: 2014 end-page: 12 ident: CR10 article-title: Sufficient descent conjugate gradient methods for solving convex constrained nonlinear monotone equations publication-title: Abstr. Appl. Anal. – volume: 2 start-page: 35 issue: 1 year: 2006 end-page: 58 ident: CR44 article-title: A survey of nonlinear conjugate gradient methods publication-title: Pac. J. Optim. – volume: 39 start-page: 1281 issue: 3-4 year: 2015 end-page: 1290 ident: CR33 article-title: A hybrid conjugate gradient method with descent property for unconstrained optimization publication-title: Appl. Math. Model. doi: 10.1016/j.apm.2014.08.008 – volume: 13 start-page: 1 issue: 5 year: 2017 end-page: 16 ident: CR38 article-title: A three term polak-ribière-polyak conjugate gradient method close to the memoryless BFGS quasi-Newton method publication-title: J. Ind. Manag. Optim. – volume: 405 start-page: 310 issue: 1 year: 2013 end-page: 319 ident: CR9 article-title: A conjugate gradient method to solve convex constrained monotone equations with applications in compressive sensing publication-title: J. Math. Anal. Appl. doi: 10.1016/j.jmaa.2013.04.017 – volume: 54 start-page: 489 issue: 2 year: 2020 end-page: 505 ident: CR25 article-title: A descent derivative-free algorithm for nonlinear monotone equations with convex constraints publication-title: RAIRO-oper Res. doi: 10.1051/ro/2020008 – ident: CR56 – volume: 13 start-page: 283 issue: 1 year: 2017 end-page: 295 ident: CR17 article-title: Multivariate spectral DY-type projection method for convex constrained nonlinear monotone equations publication-title: J. Ind. Manag. Optim. – volume: 20 start-page: 845 issue: 5 year: 1974 end-page: 862 ident: CR31 article-title: Self-scaling variable metric (SSVM) algorithms, Part i: Criteria and sufficient conditions for scaling a class of algorithms publication-title: Manag. Sci. doi: 10.1287/mnsc.20.5.845 – ident: CR40 – volume: 42 start-page: 457 issue: 4 year: 2020 end-page: 471 ident: CR45 article-title: A spectral gradient projection algorithm for convex constrained nonsmooth equations based on an adaptive line search publication-title: Math. Numer. Sin. (Chinese) – volume: 11 start-page: 962 issue: 4 year: 2001 end-page: 973 ident: CR1 article-title: Monotonicity of fixed point and normal mapping associated with variational inequality and is applications publication-title: SIAM J. Optim. doi: 10.1137/S1052623499357957 – volume: 74 start-page: 3570 issue: 11 year: 2011 end-page: 3577 ident: CR2 article-title: Non-smooth equations based method for ℓ1-norm problems with applications to compressed sensing publication-title: Nonlinear Anal. doi: 10.1016/j.na.2011.02.040 – volume: 9 start-page: 117 issue: 1 year: 2013 end-page: 129 ident: CR7 article-title: Multivariate spectral gradient projection method for nonlinear monotone equations with convex constraints publication-title: J. Ind. Manag. Optim. – volume: 69 start-page: 177 year: 1991 end-page: 182 ident: CR29 article-title: Efficient generalized conjugate gradient algorithms, part 1: Theory publication-title: J. Optim. Theory Appl. – volume: 33 start-page: 336 issue: 2 year: 2018 end-page: 353 ident: CR37 article-title: A modified Hestense-Stiefel conjugate gradient method close to the memoryless BFGS quasi-Newton method publication-title: Optim. Methods Softw. doi: 10.1080/10556788.2017.1325885 – volume: 66 start-page: 2309 issue: 12 year: 2017 end-page: 2328 ident: CR12 article-title: A class of conjugate gradient methods for convex constrained monotone equations publication-title: Optimization doi: 10.1080/02331934.2017.1372438 – volume: 7 start-page: 767 issue: 9 year: 2019 ident: CR19 article-title: An efficient conjugate gradient method for convex constrained monotone nonlinear equations with applications publication-title: Mathematics doi: 10.3390/math7090767 – volume: 31 start-page: 1625 issue: 4 year: 2011 end-page: 1635 ident: CR46 article-title: A class of derivative-free methods for large-scale nonlinear monotone equations publication-title: IMA J. Numer. Anal. doi: 10.1093/imanum/drq015 – volume: 66 start-page: 33 issue: 1 year: 2007 end-page: 46 ident: CR50 article-title: A projection method for a system of nonlinear monotone equations with convex constraints publication-title: Math. Meth. Oper. Res. doi: 10.1007/s00186-006-0140-y – volume: 49 start-page: 409 year: 1952 end-page: 436 ident: CR27 article-title: Methods of conjugate gradients for solving linear systems publication-title: J. Res. Natl. Bur. Stand. doi: 10.6028/jres.049.044 – volume: 91 start-page: 201 issue: 2 year: 2002 end-page: 213 ident: CR53 article-title: Benchmarking optimization software with performance profiles publication-title: Math. Program. doi: 10.1007/s101070100263 – volume: 39 start-page: 129 year: 2020 ident: CR23 article-title: A note on the spectral gradient projection method for nonlinear monotone equations with applications publication-title: Comput. Appl. Math. doi: 10.1007/s40314-020-01151-5 – volume: 3 start-page: 244 year: 1978 end-page: 256 ident: CR36 article-title: Conjugate gradient methods with inexact searches publication-title: Math. Oper. Res. doi: 10.1287/moor.3.3.244 – volume: 36 start-page: 54 issue: 1 year: 1986 end-page: 71 ident: CR55 article-title: Inexact Newton methods for the nonlinear complementary problem publication-title: Math. Program. doi: 10.1007/BF02591989 – volume: 81 start-page: 197 issue: 1 year: 2019 end-page: 210 ident: CR14 article-title: A descent Dai-Liao conjugate gradient method for nonlinear equations publication-title: Numer. Algorithms doi: 10.1007/s11075-018-0541-z – ident: CR20 – volume: 46 start-page: 183 year: 2020 ident: 1043_CR47 publication-title: Bull. Iran. Math. Soc. doi: 10.1007/s41980-019-00250-2 – volume: 35 start-page: 773 issue: 151 year: 1980 ident: 1043_CR35 publication-title: Math. Comput. doi: 10.1090/S0025-5718-1980-0572855-7 – volume-title: Nonlinear Conjugate Gradient Methods year: 2000 ident: 1043_CR43 – volume: 91 start-page: 201 issue: 2 year: 2002 ident: 1043_CR53 publication-title: Math. Program. doi: 10.1007/s101070100263 – volume: 8 start-page: 141 issue: 1 year: 1988 ident: 1043_CR21 publication-title: IMA J. Numer. Anal. doi: 10.1093/imanum/8.1.141 – volume: 2015 start-page: 1 issue: 1 year: 2015 ident: 1043_CR6 publication-title: J. Inequal. Appl. doi: 10.1186/s13660-014-0525-z – volume: 82 start-page: 245 year: 2019 ident: 1043_CR13 publication-title: Numer. Algorithms doi: 10.1007/s11075-018-0603-2 – volume: 1 start-page: 586 issue: 4 year: 2008 ident: 1043_CR54 publication-title: IEEE J. Sel. Top. Sign. Proces. doi: 10.1109/JSTSP.2007.910281 – volume: 11 start-page: 962 issue: 4 year: 2001 ident: 1043_CR1 publication-title: SIAM J. Optim. doi: 10.1137/S1052623499357957 – volume: 39 start-page: 1281 issue: 3-4 year: 2015 ident: 1043_CR33 publication-title: Appl. Math. Model. doi: 10.1016/j.apm.2014.08.008 – volume: 54 start-page: 489 issue: 2 year: 2020 ident: 1043_CR25 publication-title: RAIRO-oper Res. doi: 10.1051/ro/2020008 – volume: 9 start-page: 117 issue: 1 year: 2013 ident: 1043_CR7 publication-title: J. Ind. Manag. Optim. doi: 10.3934/jimo.2013.9.117 – volume: 2013 start-page: 1 issue: 1 year: 2013 ident: 1043_CR16 publication-title: J. Appl. Math. – volume: 13 start-page: 1 issue: 5 year: 2017 ident: 1043_CR38 publication-title: J. Ind. Manag. Optim. – volume: 12 start-page: 874 issue: 6 year: 2020 ident: 1043_CR24 publication-title: Symmetry doi: 10.3390/sym12060874 – volume-title: Power Generation, Operation, and Control year: 1996 ident: 1043_CR4 – volume: 405 start-page: 310 issue: 1 year: 2013 ident: 1043_CR9 publication-title: J. Math. Anal. Appl. doi: 10.1016/j.jmaa.2013.04.017 – volume: 57 start-page: 339 issue: 2 year: 2014 ident: 1043_CR48 publication-title: Comput. Optim. Appl. doi: 10.1007/s10589-013-9599-7 – ident: 1043_CR40 – volume: 3 start-page: 244 year: 1978 ident: 1043_CR36 publication-title: Math. Oper. Res. doi: 10.1287/moor.3.3.244 – volume: 25 start-page: 89 year: 2007 ident: 1043_CR51 publication-title: J. Comput. Math. – volume: 53 start-page: 399 year: 2016 ident: 1043_CR34 publication-title: Calcolo doi: 10.1007/s10092-015-0154-z – ident: 1043_CR20 doi: 10.1007/978-1-4757-6388-1_18 – volume: 74 start-page: 3570 issue: 11 year: 2011 ident: 1043_CR2 publication-title: Nonlinear Anal. doi: 10.1016/j.na.2011.02.040 – volume: 20 start-page: 845 issue: 5 year: 1974 ident: 1043_CR31 publication-title: Manag. Sci. doi: 10.1287/mnsc.20.5.845 – volume: 39 start-page: 129 year: 2020 ident: 1043_CR23 publication-title: Comput. Appl. Math. doi: 10.1007/s40314-020-01151-5 – volume: 31 start-page: 1625 issue: 4 year: 2011 ident: 1043_CR46 publication-title: IMA J. Numer. Anal. doi: 10.1093/imanum/drq015 – volume: 2014 start-page: 1 year: 2014 ident: 1043_CR10 publication-title: Abstr. Appl. Anal. – volume: 81 start-page: 197 issue: 1 year: 2019 ident: 1043_CR14 publication-title: Numer. Algorithms doi: 10.1007/s11075-018-0541-z – volume: 23 start-page: 373 issue: 3 year: 1997 ident: 1043_CR41 publication-title: J. Optim. Theory Appl. doi: 10.1007/BF00933447 – volume: 69 start-page: 177 year: 1991 ident: 1043_CR29 publication-title: J. Optim. Theory Appl. doi: 10.1007/BF00940464 – volume: 5 start-page: 319 issue: 4 year: 1995 ident: 1043_CR3 publication-title: Optim. Methods Softw. doi: 10.1080/10556789508805619 – volume: 42 start-page: 457 issue: 4 year: 2020 ident: 1043_CR45 publication-title: Math. Numer. Sin. (Chinese) – ident: 1043_CR32 doi: 10.1080/02331934.2020.1808647 – volume: 79 start-page: 87 issue: 1 year: 2012 ident: 1043_CR8 publication-title: Int. J. Pure Appl. Math. – volume: 49 start-page: 409 year: 1952 ident: 1043_CR27 publication-title: J. Res. Natl. Bur. Stand. doi: 10.6028/jres.049.044 – volume: 13 start-page: 283 issue: 1 year: 2017 ident: 1043_CR17 publication-title: J. Ind. Manag. Optim. doi: 10.3934/jimo.2016017 – volume: 18 start-page: 583 issue: 5 year: 2003 ident: 1043_CR52 publication-title: Optim. Methods Softw. doi: 10.1080/10556780310001610493 – volume: 53 start-page: 133 issue: 2 year: 2016 ident: 1043_CR26 publication-title: Calcolo doi: 10.1007/s10092-015-0140-5 – volume: 359 start-page: 1 year: 2019 ident: 1043_CR30 publication-title: Appl. Math. Comput. doi: 10.1016/j.cam.2019.03.025 – volume: 26 start-page: 629 issue: 4 year: 2006 ident: 1043_CR42 publication-title: IMA J. Numer. Anal. doi: 10.1093/imanum/drl016 – volume: 13 start-page: 600 issue: 4 year: 2004 ident: 1043_CR57 publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2003.819861 – volume: 2 start-page: 35 issue: 1 year: 2006 ident: 1043_CR44 publication-title: Pac. J. Optim. – volume: 33 start-page: 336 issue: 2 year: 2018 ident: 1043_CR37 publication-title: Optim. Methods Softw. doi: 10.1080/10556788.2017.1325885 – volume: 59 start-page: 2416 issue: 10 year: 2009 ident: 1043_CR5 publication-title: Appl. Numer. Math. doi: 10.1016/j.apnum.2009.04.004 – volume: 12 start-page: 1911 year: 2018 ident: 1043_CR39 publication-title: Optim. Lett. doi: 10.1007/s11590-017-1205-y – volume: 49 start-page: 145 issue: 1-2 year: 2015 ident: 1043_CR11 publication-title: J. Appl. Math. Comput. doi: 10.1007/s12190-014-0829-7 – volume: 7 start-page: 745 issue: 8 year: 2019 ident: 1043_CR18 publication-title: Mathematics doi: 10.3390/math7080745 – volume: 66 start-page: 33 issue: 1 year: 2007 ident: 1043_CR50 publication-title: Math. Meth. Oper. Res. doi: 10.1007/s00186-006-0140-y – volume: 36 start-page: 54 issue: 1 year: 1986 ident: 1043_CR55 publication-title: Math. Program. doi: 10.1007/BF02591989 – ident: 1043_CR56 – volume: 55 start-page: 53 issue: 4 year: 2018 ident: 1043_CR28 publication-title: Calcolo doi: 10.1007/s10092-018-0291-2 – volume: 66 start-page: 2309 issue: 12 year: 2017 ident: 1043_CR12 publication-title: Optimization doi: 10.1080/02331934.2017.1372438 – volume-title: Projections on Convex Sets in Hilbert Space and Spectral Theory year: 1971 ident: 1043_CR49 – volume: 196 start-page: 478 year: 2006 ident: 1043_CR22 publication-title: J. Comput. Appl. Math. doi: 10.1016/j.cam.2005.10.002 – volume: 6 start-page: e03466 issue: 3 year: 2020 ident: 1043_CR15 publication-title: Heliyon doi: 10.1016/j.heliyon.2020.e03466 – volume: 7 start-page: 767 issue: 9 year: 2019 ident: 1043_CR19 publication-title: Mathematics doi: 10.3390/math7090767 |
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| SubjectTerms | Adaptive search techniques Algebra Algorithms Blurring Computer Science Conjugate gradient method Constraints Mathematical analysis Methods Numeric Computing Numerical Analysis Optimization Original Paper Robustness (mathematics) Searching Theory of Computation |
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| Title | A hybrid three-term conjugate gradient projection method for constrained nonlinear monotone equations with applications |
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